The clinical management of bipolar disorder complexity using a stratified model

Fluorescent copolymer aggregate sensor for lithium chloride

We report a copolymeric lithium chloride selective fluorescent sensor. No fluorescence change is seen upon the addition of NaCl, KCl, MgCl2, or CaCl2, while a fluorescence decrease is seen upon the addition of LiCl.

Treatment-Resistant Bipolar Depression: Therapeutic Trends, Challenges and Future Directions

INTRODUCTION

Bipolar disorder (BD) is a chronic mental illness impacting 1-2% of the population worldwide and causing high rates of functional impairment. Patients with BD spend most of their time in depressive episodes and up to one-third of patients do not respond to adequate doses of medications. Although no consensus exists for definition of treatment-resistant bipolar depression (TRBD), failure of symptoms improvement despite an adequate trial of two therapeutic agents is a common theme of TRBD. In this paper, we review the evidence base of therapeutic interventions, challenges, and potential future directions for TRBD.

METHODS

We conducted a literature search for randomized controlled trials on PubMed for the treatment of TRBD and ongoing trials for the treatment of TRBD/bipolar depression on clinicaltrials.gov.

RESULTS

Several therapeutic agents have been investigated for TRBD. Adjunctive pramipexole and modafinil have data supporting short-term efficacy in TRBD, along with limited data for racemic intravenous ketamine. Celecoxib augmentation of escitalopram and treatment with metformin in patients with insulin resistance showed promising results. Right unilateral electroconvulsive therapy displayed statistically significant response rate and improvement, but not remission compared to pharmacotherapy. Trials for transcranial magnetic stimulation (TMS) have failed to show a significant difference from sham treatment in TRBD.

FUTURE TRENDS

Pharmacological treatments with novel mechanisms of actions like brexpiprazole and vortioxetine are being investigated following successes in unipolar depression. Modified TMS protocols such as accelerated TMS are under investigation. Innovative approaches like psychedelic-assisted psychotherapy, interleukin-2, fecal microbiota transplantation and multipotent stromal cells are being studied.

CONCLUSION

Evidence on current treatment modalities for TRBD is limited with low efficacy. More research is needed for successful treatment of TRBD. Effective therapies and innovative approaches to treatment are being investigated and could show promise.

The influence of stage of illness on functional outcomes after psychological treatment in bipolar disorder: A systematic review

OBJECTIVES

The aim of this study was to advance understanding of stage of illness in bipolar disorder (BD), by interrogating the literature for evidence of an influence of stage of illness on functional (ie non-symptom) outcomes following psychosocial intervention.

METHODS

A systematic literature search following PRISMA guidelines was conducted to identify empirical studies of psychosocial interventions for established BD. To investigate stage as a predictor of three functional outcomes (general/social functioning, cognitive functioning and quality of life [QoL]), study samples were dichotomised into earlier and later stage using proxy measures identified in existing staging models. Findings were integrated using data-based convergent synthesis.

RESULTS

A total of 88 analyses from 62 studies were identified. Synthesis across studies suggested that psychosocial intervention was more likely to be effective for general functioning outcomes earlier in the course of established BD. No stage-related differences were found for cognitive or QoL outcomes. Exploratory investigations found some evidence of an interaction between specific intervention type and stage of illness in predicting outcomes.

CONCLUSIONS

A novel systematic review provided preliminary evidence that benefits general/social functioning may be more pronounced in earlier versus later stages of established BD. The review also generated hypotheses about a potential three-way interaction, whereby specific psychosocial interventions may be best placed to target functional outcomes in earlier versus later stage BD. The strength of conclusions is limited by the overall low-quality and significant heterogeneity of studies. Further research is urgently required to understand the impact of illness stage on the effectiveness of psychosocial interventions.

Bipolar disorder, comorbid anxiety disorders, gynecomastia and dental pain: case analysis with literature review

Bipolar disorder with comorbid anxiety disorders frequently requires rational polypharmacy, including use of serotonergic psychotropics. These may result in adverse effects, influencing adherence, complicating treatment and confounding diagnoses. Serotonergic non-adherence is associated with discontinuation syndromes. In this complex case with an on/off/on/off design, both dose-dependent buspirone-induced gynecomastia and buspirone discontinuation syndrome with dental pain are reported. Clinicians and patients should consider these findings to maximise treatment adherence, minimise any unnecessary interventions and address unusual adverse effects. Since patients may not voluntarily disclose specific adverse effects and often do not acknowledge non-adherence, clinician-directed questions are required. This case further emphasises the importance of medication and symptom timelines to guide determination of causation for adverse effects. Although findings from this case cannot be generalised, they suggest the need for continued clinician and patient education, as well as the benefit from detailed case reports.

DECLARATION OF INTEREST

None.

Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta-Analysis and Meta-Regression Study

Objective: Bipolar disorder is highly comorbid with anxiety disorders, however current and lifetime comorbidity patterns of each anxiety disorder and their associated features are not well studied. Here, we aimed to conduct a meta-analysis and meta-regression study of current evidence. Method: We searched PubMed to access relevant articles published until September 2015, using the keywords "Bipolar disorder" or "Affective Psychosis" or "manic depressive" separately with "generalized anxiety," "panic disorder," "social phobia," "obsessive compulsive," and "anxiety." Variables for associated features and prevalence of anxiety disorders were carefully extracted. Results: Lifetime any anxiety disorder comorbidity in BD was 40.5%; panic disorder (PD) 18.1%, generalized anxiety disorder (GAD) 13.3%, social anxiety disorder (SAD) 13.5% and obsessive compulsive disorder (OCD) 9.7%. Current any anxiety disorder comorbidity in BD is 38.2%; GAD is 15.2%, PD 13.3%, SAD 11.7%, and OCD 9.9%. When studies reporting data about comorbidities in BDI or BDII were analyzed separately, lifetime any anxiety disorder comorbidity in BDI and BDII were 38% and 34%, PD was 15% and 15%, GAD was 14% and 16.6%, SAD was 8% and 13%, OCD was 8% and 10%, respectively. Current any DSM anxiety disorder comorbidity in BDI or BDII were 31% and 37%, PD was 9% and 13%, GAD was 8% and 12%, SAD was 7% and 11%, and OCD was 8% and 7%, respectively. The percentage of manic patients and age of onset of BD tended to have a significant impact on anxiety disorders. Percentage of BD I patients significantly decreased the prevalence of panic disorder and social anxiety disorder. A higher rate of substance use disorder was associated with greater BD-SAD comorbidity. History of psychotic features significantly affected current PD and GAD. Conclusions: Anxiety disorder comorbidity is high in BD with somewhat lower rates in BDI vs BDII. Age of onset, substance use disorders, and percentage of patients in a manic episode or with psychotic features influences anxiety disorder comorbidity.

Affective lability mediates the association between childhood trauma and suicide attempts, mixed episodes and co-morbid anxiety disorders in bipolar disorders

BACKGROUND

Many studies have shown associations between a history of childhood trauma and more severe or complex clinical features of bipolar disorders (BD), including suicide attempts and earlier illness onset. However, the psychopathological mechanisms underlying these associations are still unknown. Here, we investigated whether affective lability mediates the relationship between childhood trauma and the severe clinical features of BD.

METHOD

A total of 342 participants with BD were recruited from France and Norway. Diagnosis and clinical characteristics were assessed using the Diagnostic Interview for Genetic Studies (DIGS) or the Structured Clinical Interview for DSM-IV Axis I disorders (SCID-I). Affective lability was measured using the short form of the Affective Lability Scale (ALS-SF). A history of childhood trauma was assessed using the Childhood Trauma Questionnaire (CTQ). Mediation analyses were performed using the SPSS process macro.

RESULTS

Using the mediation model and covariation for the lifetime number of major mood episodes, affective lability was found to statistically mediate the relationship between childhood trauma experiences and several clinical variables, including suicide attempts, mixed episodes and anxiety disorders. No significant mediation effects were found for rapid cycling or age at onset.

CONCLUSIONS

Our data suggest that affective lability may represent a psychological dimension that mediates the association between childhood traumatic experiences and the risk of a more severe or complex clinical expression of BD.

Prevalence of comorbid bipolar and substance use disorders in clinical settings, 1990-2015: Systematic review and meta-analysis

BACKGROUND

Comorbidity between substance use disorders (SUDs) and bipolar disorder (BD) is highly prevalent to the extent it may almost be regarded the norm. This systematic review and meta-analysis aimed to estimate the prevalence rates of SUDs in treatment seeking patients diagnosed with BD in both inpatient and outpatient settings.

METHODS

A comprehensive literature search of Medline, EMBASE, psychINFO and CINAHL databases was conducted from 1990 to 2015. Prevalence of co-morbid SUDs and BD were extracted and odds ratios (ORs) were calculated using random effects meta-analysis.

RESULTS

There were 151 articles identified by electronic searches that yielded 22 large, multi-site studies and 56 individual studies describing comorbid rates of SUDs amongst community dwelling, BD inpatients or outpatients. The SUDs with the highest prevalence in BD were alcohol use (42%) followed by cannabis use (20%) and other illicit drug use (17%). Meta-analysis showed males had higher lifetime risks of SUDs compared to females. BD and comorbid SUDS were associated with earlier age of onset and slightly more hospitalisations than non-users.

LIMITATIONS

The results do not take into account the possibility that individuals may have more than one comorbid disorder, such as having more than one SUD, anxiety disorder, or other combination. Some of the meta-analyses were based on relatively few studies with high rates of heterogeneity. Most included studies were cross-sectional and therefore causality cannot be inferred.

CONCLUSIONS

This systematic review shows comorbidity between SUDs and bipolar illness is highly prevalent in hospital and community-based samples. The prevalence of SUDs was similar in patients with bipolar I and bipolar II disorders. This study adds to the literature demonstrating that SUDs are common in BD and reinforces the need to provide better interventions and properly conducted treatment trials to reduce the burden conferred by comorbid SUD and BD.

Neurobiology of Risk for Bipolar Disorder

Bipolar disorder (BD) is a chronic mental illness which follows a relapsing and remitting course and requires lifetime treatment. The lack of biological markers for BD is a major difficulty in clinical practice. Exploring multiple endophenotypes to fit in multivariate genetic models for BD is an important element in the process of finding tools to facilitate early diagnosis, early intervention, prevention of new episodes, and follow-up of treatment response in BD. Reviewing of studies on neuroimaging, neurocognition, and biochemical parameters in populations with high genetic risk for the illness can yield an integrative perspective on the neurobiology of risk for BD. The most up-to-date data reveals consistent deficits in executive function, response inhibition, verbal memory/learning, verbal fluency, and processing speed in risk groups for BD. Functional magnetic resonance imaging (fMRI) studies report alterations in the activity of the inferior frontal gyrus, medial prefrontal cortex, and limbic areas, particularly in the amygdala in unaffected first-degree relatives (FDR) of BD compared to healthy controls. Risk groups for BD also present altered immune and neurochemical modulation. Despite inconsistencies, accumulating data reveals cognitive and imaging markers for risk and to a less extent resilience of BD. Findings on neural modulation markers are preliminary and require further studies. Although the knowledge on the neurobiology of risk for BD has been inadequate to provide benefits for clinical practice, further studies on structural and functional changes in the brain, neurocognitive functioning, and neurochemical modulation have a potential to reveal biomarkers for risk and resilience for BD. Multimodal, multicenter, population-based studies with large sample size allowing for homogeneous subgroup analyses will immensely contribute to the elucidation of biological markers for risk for BD in an integrative model.

Early report on brain arousal regulation in manic vs depressive episodes in bipolar disorder

OBJECTIVES

The arousal regulation model of affective disorders attributes an important role in the pathophysiology of affective disorders to dysregulation of brain arousal regulation. According to this model, sensation avoidance and withdrawal in depression and sensation seeking and hyperactivity in mania can be explained as auto-regulatory attempts to counteract a tonically high (depression) or unstable (mania) arousal. The aim of this study was to compare brain arousal regulation between manic and depressive bipolar patients and healthy controls. We hypothesized that currently depressed patients with bipolar disorder show hyperstable arousal regulation, while currently manic patients show unstable arousal regulation.

METHODS

Twenty-eight patients with bipolar disorder received a 15-min resting electroencephalogram (EEG) during a depressive episode and 19 patients received the same during a manic/hypomanic episode. Twenty-eight healthy control subjects were matched for age and sex. The Vigilance Algorithm Leipzig (VIGALL), which classifies 1-s EEG segments as one of seven EEG-vigilance substages, was used to measure brain arousal regulation.

RESULTS

Manic patients showed more unstable EEG-vigilance regulation as compared to the control sample (P = .004) and to patients with a depressive episode (P ≤ .001). Depressive patients had significantly higher mean vigilance levels (P = .045) than controls.

CONCLUSIONS

A clear difference was found in the regulation of brain arousal of manic patients vs depressive patients and controls. These data suggest that brain arousal might depend on the current mood state, which would support the arousal regulation model of affective disorders.

Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

OBJECTIVES

To provide guidance for the management of mood disorders, based on scientific evidence supplemented by expert clinical consensus and formulate recommendations to maximise clinical salience and utility.

METHODS

Articles and information sourced from search engines including PubMed and EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (MDC) (e.g., books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Information was reviewed and discussed by members of the MDC and findings were then formulated into consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous successive consultation and external review involving: expert and clinical advisors, the public, key stakeholders, professional bodies and specialist groups with interest in mood disorders.

RESULTS

The Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders (Mood Disorders CPG) provide up-to-date guidance and advice regarding the management of mood disorders that is informed by evidence and clinical experience. The Mood Disorders CPG is intended for clinical use by psychiatrists, psychologists, physicians and others with an interest in mental health care.

CONCLUSIONS

The Mood Disorder CPG is the first Clinical Practice Guideline to address both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.

MOOD DISORDERS COMMITTEE

Professor Gin Malhi (Chair), Professor Darryl Bassett, Professor Philip Boyce, Professor Richard Bryant, Professor Paul Fitzgerald, Dr Kristina Fritz, Professor Malcolm Hopwood, Dr Bill Lyndon, Professor Roger Mulder, Professor Greg Murray, Professor Richard Porter and Associate Professor Ajeet Singh.

INTERNATIONAL EXPERT ADVISORS

Professor Carlo Altamura, Dr Francesco Colom, Professor Mark George, Professor Guy Goodwin, Professor Roger McIntyre, Dr Roger Ng, Professor John O'Brien, Professor Harold Sackeim, Professor Jan Scott, Dr Nobuhiro Sugiyama, Professor Eduard Vieta, Professor Lakshmi Yatham.

AUSTRALIAN AND NEW ZEALAND EXPERT ADVISORS

Professor Marie-Paule Austin, Professor Michael Berk, Dr Yulisha Byrow, Professor Helen Christensen, Dr Nick De Felice, A/Professor Seetal Dodd, A/Professor Megan Galbally, Dr Josh Geffen, Professor Philip Hazell, A/Professor David Horgan, A/Professor Felice Jacka, Professor Gordon Johnson, Professor Anthony Jorm, Dr Jon-Paul Khoo, Professor Jayashri Kulkarni, Dr Cameron Lacey, Dr Noeline Latt, Professor Florence Levy, A/Professor Andrew Lewis, Professor Colleen Loo, Dr Thomas Mayze, Dr Linton Meagher, Professor Philip Mitchell, Professor Daniel O'Connor, Dr Nick O'Connor, Dr Tim Outhred, Dr Mark Rowe, Dr Narelle Shadbolt, Dr Martien Snellen, Professor John Tiller, Dr Bill Watkins, Dr Raymond Wu.

Mood disorders: neurocognitive models

OBJECTIVES

In recent years, a number of neurocognitive models stemming from psychiatry and psychology schools of thought have conceptualized the pathophysiology of mood disorders in terms of dysfunctional neural mechanisms that underpin and drive neurocognitive processes. Though these models have been useful for advancing our theoretical understanding and facilitating important lines of research, translation of these models and their application within the clinical arena have been limited-partly because of lack of integration and synthesis. Cognitive neuroscience provides a novel perspective for understanding and modeling mood disorders. This selective review of influential neurocognitive models develops an integrative approach that can serve as a template for future research and the development of a clinically meaningful framework for investigating, diagnosing, and treating mood disorders.

METHODS

A selective literature search was conducted using PubMed and PsychINFO to identify prominent neurobiological and neurocognitive models of mood disorders.

RESULTS

Most models identify similar neural networks and brain regions and neuropsychological processes in the neurocognition of mood, however, they differ in terms of specific functions attached to neural processes and how these interact. Furthermore, cognitive biases, reward processing and motivation, rumination, and mood stability, which play significant roles in the manner in which attention, appraisal, and response processes are deployed in mood disorders, are not sufficiently integrated. The inclusion of interactions between these additional components enhances our understanding of the etiology and pathophysiology of mood disorders.

CONCLUSIONS

Through integration of key cognitive functions and understanding of how these interface with neural functioning within neurocognitive models of mood disorders, a framework for research can be created for translation to diagnosis and treatment of mood disorders.

Peripheral brain-derived neurotrophic factor (BDNF) as a biomarker in bipolar disorder: a meta-analysis of 52 studies

BACKGROUND

The neurotrophic hypothesis postulates that mood disorders such as bipolar disorder (BD) are associated with a lower expression of brain-derived neurotrophic factor (BDNF). However, its role in peripheral blood as a biomarker of disease activity and of stage for BD, transcending pathophysiology, is still disputed. In the last few years an increasing number of clinical studies assessing BDNF in serum and plasma have been published. Therefore, it is now possible to analyse the association between BDNF levels and the severity of affective symptoms in BD as well as the effects of acute drug treatment of mood episodes on BDNF levels.

METHODS

We conducted a systematic review and meta-analysis of all studies on serum and plasma BDNF levels in bipolar disorder.

RESULTS

Through a series of meta-analyses including a total of 52 studies with 6,481 participants, we show that, compared to healthy controls, peripheral BDNF levels are reduced to the same extent in manic (Hedges' g = -0.57, P = 0.010) and depressive (Hedges' g = -0.93, P = 0.001) episodes, while BDNF levels are not significantly altered in euthymia. In meta-regression analyses, BDNF levels additionally negatively correlate with the severity of both manic and depressive symptoms. We found no evidence for a significant impact of illness duration on BDNF levels. In addition, in plasma, but not serum, peripheral BDNF levels increase after the successful treatment of an acute mania episode, but not of a depressive one.

CONCLUSIONS

In summary, our data suggest that peripheral BDNF levels, more clearly in plasma than in serum, is a potential biomarker of disease activity in BD, but not a biomarker of stage. We suggest that peripheral BDNF may, in future, be used as a part of a blood protein composite measure to assess disease activity in BD.

Predicting bipolar disorder on the basis of phenomenology: implications for prevention and early intervention

OBJECTIVE

Bipolar disorder is a multifaceted illness and there is often a substantial delay between the first onset of symptoms and diagnosis. Early detection has the potential to curtail illness progression and disorder-associated burden but it requires a clear understanding of the initial bipolar prodrome. This article summarizes the phenomenology of bipolar disorder with an emphasis on the initial prodrome, the evolution of the illness, and the implications for prevention and early intervention.

METHODS

A literature review was undertaken using Medline, Web of Science, and a hand search of relevant literature using keywords (e.g., phenomenology, initial or early symptoms, risk factors, and predictors/prediction). Findings from the literature were reviewed and synthesized and have been put into a clinical context.

RESULTS

Bipolar disorder is a recurrent, persistent, and disabling illness that typically develops in adolescence or early adulthood. The literature search yielded 28 articles, in which mood lability, nonspecific, non-mood symptoms, and cyclothymic temperament were the most cited prodromal features.

CONCLUSIONS

A small number of key prospective studies have provided evidence in support of an initial bipolar prodrome; however, methodological differences across studies have prohibited its clear delineation. It is, therefore, not currently possible to anticipate those who will develop bipolar disorder solely on the basis of early phenomenology. Accurate characterization of the bipolar disorder prodrome through high-quality, prospective research studies with adequate control groups will ultimately facilitate prompt and accurate diagnosis.

Bipolar Disorder in the Postpartum Period: Management Strategies and Future Directions

Bipolar I and II disorder are chronic and severe psychiatric illnesses that affect many women. Furthermore, women are at increased risk for mood episodes during the postpartum period compared with non-postpartum periods. Unfortunately, identification of clinically significant depressive or (hypo)manic episodes can be challenging. Delays in detection, as well as misdiagnosis, put women at risk of many negative consequences, such as symptom exacerbation and treatment refractoriness. Early and accurate detection of bipolar I or II disorder in the postpartum period is critical to improve prognosis. At this time, limited recommendations can be made due to a paucity of research. Further research on postpartum bipolar I or II disorder focusing on its identification, consequences and treatment is urgently needed to allow for empirically informed clinical decision-making.

Physiological Correlates of Bipolar Spectrum Disorders and their Treatment

Bipolar spectrum disorders (BSDs) are associated with great personal and socioeconomic burden, with patients often facing a delay in detection, misdiagnosis when detected, and a trial-and-error approach to finding the most appropriate treatment. Therefore, improvement in the assessment and management of patients with BSDs is critical. Should valid physiological measures for BSDs be identified and implemented, significant clinical improvements are likely to be realized. This chapter reviews the physiological correlates of BSDs and treatment, and in doing so, examines the neuroimaging, electroencephalogram, and event-related potential, and peripheral physiological correlates that both characterize and differentiate BSDs and their response to treatment. Key correlates of BSDs involve underlying disturbances in prefrontal and limbic network neural activity, early neural processing, and within the autonomic nervous system. These changes appear to be mood-related and can be normalized with treatment. We adopt an "embodied" perspective and propose a novel, working framework that takes into account embodied psychophysiological mechanisms in which the physiological correlates of BSD are integrated. This approach may in time provide the objective physiological measures needed to improve assessment and decision making when treating patients with BSDs. Future research with integrative, multimodal measures is likely to yield potential applications for physiological measures of BSD that correlate closely with diagnosis and treatment.

[Bipolar disorder: inter-episode symptoms]

The importance of inter-episode symptoms in bipolar disorder can be traced back to the middle of the 19th century, at a time when the two fathers of the concept in France, Falret and Baillarger were opposed on the issue as to whether the presence of free intervals between the episodes had to be part or not of the disease's definition. Modern studies have reported rates between 50 and 68% for those symptoms which refer to subsyndromal manifestations present between affective episodes but that do not meet the required criteria for episodes definition. These manifestations comprise residual symptoms, prodromes, axis I comorbid psychiatric disorders, side effects of treatment, temperamental features, and comorbidity with personality disorders. Inter- episodes symptoms represent a risk factor for the occurrence of relapses and recurrences and are usually associated with impairments in functioning in almost all domains of psychosocial and family life. As they are easy to miss, it is important in clinical practice, to draw the attention of clinicians, patients and relatives to the role they have in the course of the illness. As far as their management, it may be crucial to achieve a full remission of the episodes, using adequate dosages of psychotropic drugs. Residual symptoms, prodromes as well as other inter-episode symptoms may respond to strategies based on cognitive-behaviour therapy, and/or psychoeducation.

[Mixed states]

The issue of mixed states has an important place in the debate on psychiatric nosography since the end of 19th century. The current definition of mixed states according to the DSM- IV, as a thymic episode of bipolar disorder type I, is probably somewhat too restrictive in clinical practice. Due to the clinical heterogeneity of bipolar disorder, the mixed states will define within a dimensional approach, likely in the next DSM- V. As the evolution, the prognosis or the therapeutic strategies differ from what is applied in other thymic episodes, this transition from "mixed state" to manic or depressive episodes "with mixed features" may be relevant in practice.

Mental health collaborative care and its role in primary care settings

Collaborative care models (CCMs) provide a pragmatic strategy to deliver integrated mental health and medical care for persons with mental health conditions served in primary care settings. CCMs are team-based intervention to enact system-level redesign by improving patient care through organizational leadership support, provider decision support, and clinical information systems, as well as engaging patients in their care through self-management support and linkages to community resources. The model is also a cost-efficient strategy for primary care practices to improve outcomes for a range of mental health conditions across populations and settings. CCMs can help achieve integrated care aims underhealth care reform yet organizational and financial issues may affect adoption into routine primary care. Notably, successful implementation of CCMs in routine care will require alignment of financial incentives to support systems redesign investments, reimbursements for mental health providers, and adaptation across different practice settings and infrastructure to offer all CCM components.

Evidence-based treatment strategies for treatment-resistant bipolar depression: a systematic review

OBJECTIVES

Treatment resistance in bipolar depression is a common clinical problem that constitutes a major challenge for the treating clinician as there is a paucity of treatment options. The objective of this paper was to review the evidence for treatment options in treatment-resistant bipolar depression, as found in randomized controlled trials and with special attention to the definition and assessment of treatment resistance.

METHODS

A Medline search (from database inception to May 2012) was performed using the search terms treatment resistance or treatment refractory, and bipolar depression or bipolar disorder, supplemented with 43 separate searches using the various pharmacologic agents or technical interventions as search terms.

RESULTS

Only seven studies met our inclusion criteria. These studies examined the effects of ketamine (n = 1), (ar)modafinil (n = 2), pramipexole (n = 1), lamotrigine (n = 1), inositol (n = 1), risperidone (n = 1), and electroconvulsive therapy (ECT) (n = 2).

CONCLUSIONS

The available level I evidence for treatment strategies in resistant bipolar depression is extremely scarce, and although the response rates reported are reassuring, most of the strategies remain experimental. There is an urgent need for further study in homogeneous patient samples using a clear concept of treatment resistance.

Integrating bipolar disorder management in primary care

There is growing realization that persons with bipolar disorder may exclusively be seen in primary (general medical) care settings, notably because of limited access to mental health care and stigma in seeking mental health treatment. At least two clinical practice guidelines for bipolar disorder recommend collaborative chronic care models (CCMs) to help integrate mental health care to better manage this illness. CCMs, which include provider guideline support, self-management support, care management, and measurement-based care, are well-established in primary care settings, and may help primary care practitioners manage bipolar disorder. However, further research is required to adapt CCMs to support complexities in diagnosing persons with bipolar disorder, and integrate decision-making processes regarding medication safety and tolerability in primary care. Additional implementation studies are also needed to adapt CCMs for persons with bipolar disorder in primary care, especially those seen in smaller practices with limited infrastructure and access to mental health care.

Balanced efficacy, safety, and tolerability recommendations for the clinical management of bipolar disorder

OBJECTIVE

To provide practical and clinically meaningful treatment recommendations that amalgamate clinical experience and research findings for each phase of bipolar disorder.

METHODS

A comprehensive search of the literature was undertaken using electronic database search engines (Medline, PubMed, Cochrane reviews) using key words (e.g., bipolar depression, mania, treatment). All relevant randomised controlled trials were examined, along with review papers, meta-analyses, and book chapters known to the authors. In addition, the recommendations from accompanying papers in this supplement have been distilled and captured in the form of summary boxes. The findings, in conjunction with the clinical experience of international researchers and clinicians who are practiced in treating mood disorders, formed the basis of the treatment recommendations within this paper.

RESULTS

Balancing clinical experience with evidence informed and lead to the development of practical clinical recommendations that emphasise the importance of safety and tolerability alongside efficacy in the clinical management of bipolar disorder.

CONCLUSIONS

The current paper summarises the treatment recommendations relating to each phase of bipolar disorder while providing additional, evidence-based, practical insights. Medication-related side effects and monitoring strategies highlight the importance of safety and tolerability considerations, which, along with efficacy information, should be given equal merit.

Treatment options for acute depression in bipolar disorder

OBJECTIVE

The burden of depression represents the most debilitating dimension for the majority of patients with bipolar disorder and dominates the long-term course of the illness. The purpose of this manuscript is to review the evidence base of the available treatment options for bipolar depression within two frequent clinical scenarios.

METHODS

The evidence is largely based on a systematic literature search and appraisal that was part of the development of the German Guideline for Bipolar Disorders. All relevant randomized controlled trials were critically evaluated.

RESULTS

Overall, the number of suitably controlled studies for the treatment of bipolar depression is relatively low. There are two common scenarios. Scenario A, if a patient with bipolar depression is currently not being treated with a mood-stabilizing agent (de novo depression, first or subsequent episode), then quetiapine or olanzapine are options, or alternatively, carbamazepine and lamotrigine can be considered. Antidepressants are an option for short-term use, but whether they are best administered as monotherapy or in combination with mood-stabilizing agents is still controversial. In practice, most clinicians use antidepressants in combination with an antimanic agent. Scenario B, if a patient is already being treated optimally with a mood-stabilizing agent (good adherence and appropriate dose) such as lithium, lamotrigine is an option. There is no evidence for additional benefit from antidepressants where a patient is already being treated with a mood stabilizer; however, in practice an antidepressant is often trialled. Efficient psychotherapy is an important part of the treatment regimen and should span all phases of the illness.

CONCLUSIONS

Treatment decisions in bipolar depression involve a range of different pharmacological and non-pharmacological options. Monitoring potential unwanted effects and the appropriateness of treatment can help to effectively balance benefits and risks in individual situations. However, the quality of the assessment and reporting of risks in clinical trials need to be improved to better inform treatment decisions.